.. DeepDiff documentation master file, created by sphinx-quickstart on Mon Jul 20 06:06:44 2015. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. DeepDiff 8.5.0 documentation! ============================= ******* Modules ******* The DeepDiff library includes the following modules: - **DeepDiff** For Deep Difference of 2 objects. :doc:`/diff` It return the deep Difference of python objects. It can also be used to take the distance between objects. :doc:`/deep_distance` - **DeepSearch** Search for objects within other objects. :doc:`/dsearch` - **DeepHash** Hash any object based on their content even if they are not "hashable" in Python's eyes. :doc:`/deephash` - **Delta** Delta of objects that can be applied to other objects. Imagine git commits but for structured data. :doc:`/delta` - **Extract** For extracting a path from an object :doc:`/extract` - **Commandline** Most of the above functionality is also available via the commandline module :doc:`/commandline` *********** What Is New *********** DeepDiff 8-5-0 -------------- - Updating deprecated pydantic calls - Switching to pyproject.toml - Fix for moving nested tables when using iterable_compare_func. by - Fix recursion depth limit when hashing numpy.datetime64 - Moving from legacy setuptools use to pyproject.toml DeepDiff 8-4-2 -------------- - fixes the type hints for the base - fixes summarize so if json dumps fails, we can still get a repr of the results - adds ipaddress support ********* Tutorials ********* Tutorials can be found on `Zepworks blog `_ ************ Installation ************ Install from PyPi:: pip install deepdiff If you want to use DeepDiff from commandline:: pip install "deepdiff[cli]" If you want to improve the performance of DeepDiff with certain processes such as json serialization:: pip install "deepdiff[optimize]" Read about DeepDiff optimizations at :ref:`optimizations_label` Importing ~~~~~~~~~ .. code:: python >>> from deepdiff import DeepDiff # For Deep Difference of 2 objects >>> from deepdiff import grep, DeepSearch # For finding if item exists in an object >>> from deepdiff import DeepHash # For hashing objects based on their contents >>> from deepdiff import Delta # For creating delta of objects that can be applied later to other objects. >>> from deepdiff import extract # For extracting a path from an object .. note:: if you want to use DeepDiff via commandline, make sure to run:: pip install "deepdiff[cli]" Then you can access the commands via: - DeepDiff .. code:: bash $ deep diff --help - Delta .. code:: bash $ deep patch --help - grep .. code:: bash $ deep grep --help - extract .. code:: bash $ deep extract --help Supported data types ~~~~~~~~~~~~~~~~~~~~ int, string, unicode, dictionary, list, tuple, set, frozenset, OrderedDict, NamedTuple, Numpy, custom objects and more! References ========== .. toctree:: :maxdepth: 4 diff dsearch deephash delta extract commandline changelog authors faq support Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search`